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polarimetric SAR images

Detecting covariance symmetries for classification of polarimetric SAR images

Detecting covariance symmetries for classification of polarimetric SAR images

... the polarimetric covariance matrix, coherence matrix, Muller matrix, and so on [1]–[4], and to use them in order to achieve a specific ...a polarimetric radar is the well- known scattering matrix [3] (also ...

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An eigenvalue-based approach for structure classification in polarimetric SAR images

An eigenvalue-based approach for structure classification in polarimetric SAR images

... in polarimetric SAR ...the polarimetric data has been extracted by creating reduced-size vectors which allowed to classify the dominant eigenvalue for each pair of ...measured polarimetric ...

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A multi-family GLRT for detection in polarimetric SAR images

A multi-family GLRT for detection in polarimetric SAR images

... Polarimetric SAR images provide enhanced information on the imaged scene that can be exploited for improved target de- tection, recognition and scene classification ...the polarimetric infor- ...

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Fuzzy-Superpixels for Polarimetric SAR Images Classification

Fuzzy-Superpixels for Polarimetric SAR Images Classification

... Abstract—Superpixels technique has drawn much attention in computer vision applications. Each superpixels algorithm has its own advantages. Selecting a more appropriate superpixels algorithm for a specific application ...

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Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

... subject to dynamic changes during the ice growth process. The small-scale surface roughness (on a centimeter scale) may also vary temporally and spatially. This, however, can hardly be measured in the field with ...

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Edge Detection in Polarimetric SAR Image based on Bandelet Transform

Edge Detection in Polarimetric SAR Image based on Bandelet Transform

... plagues polarimetric SAR images and is worsened by its multiplicative nature which induces high probability of false ...fully polarimetric SAR images, the research efforts on ...

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A Novel Lightweight SARNet
 with Clock-Wise Data Amplification for SAR ATR

A Novel Lightweight SARNet with Clock-Wise Data Amplification for SAR ATR

... into SAR ATR task have achieved promising results ...from SAR target images to the support vector machine (SVM) classifier to form a local “bounded” decision region around each class that presents ...

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Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications

Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications

... in polarimetric SAR images was investigated, focusing only on the heterogeneous scenario wherein the polarimetric image pixels share the same covariance but different power ...same ...

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A Study on the Approaches and Algorithms for Classification of Synthetic Aperture Radar

A Study on the Approaches and Algorithms for Classification of Synthetic Aperture Radar

... complete polarimetric simulated and real data shows that having more information from different polarizations in complete polarimetric images compared to single band images leads to higher ...

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Polarimetric SAR as a Tool for Remote Sensing Salt Diapirs, Axel Heiberg Island, Nunavut

Polarimetric SAR as a Tool for Remote Sensing Salt Diapirs, Axel Heiberg Island, Nunavut

... ratio images, more than one wavelength is required to visually highlight specific absorption ...Landsat-8 images show some lateral discontinuity, which may be related to ...composite images do not ...

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Multitemporal Sentinel-1SAR Interferometry for Surface Deformation Monitoring near High Dam in Aswan, Egypt

Multitemporal Sentinel-1SAR Interferometry for Surface Deformation Monitoring near High Dam in Aswan, Egypt

... This study was carried out by using the C-band SAR, wavelength λ = 5.6 cm. Data acquired in ascending orbit by Sentinel-1A (S1A) which was launched on 3 April 2014 and Sentinel-1B (S1B) on 25 April 2016. Their ...

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A Survey on Discrimination of Oil Spill from Biogenic Silks under Low Wind Atmosphere by SAR Images

A Survey on Discrimination of Oil Spill from Biogenic Silks under Low Wind Atmosphere by SAR Images

... using SAR data usually consider “soft data” and the dark features visible on the SAR images have usually not been taken into ...the SAR images mostly relies on where a feature is ...

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A Review on Image Segmentation by Fuzzy C-Means Clustering Algorithm

A Review on Image Segmentation by Fuzzy C-Means Clustering Algorithm

... original SAR image Then perform the three segmentation algorithms on noisy SAR images corrupted, respectively, by Gaussian noise and salt and pepper noise to investigate the robustness of the ...

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Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests

Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests

... radar images and thus greatly improve the ability to discriminate di ff erent terrain ...new polarimetric descriptor based on statistical properties and scattering mechanisms; the other is to employ some ...

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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum

Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum

... The rest of the paper is organized as follows. In Section 2, we present the statistic observation models. In Section 3, a new energy functional for PolSAR image object segmentation is proposed. In Section 4, we prove ...

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CHANGE DETECTION IN SAR IMAGES USING FUZZY CUSTERING AND IMAGE FUSSION

CHANGE DETECTION IN SAR IMAGES USING FUZZY CUSTERING AND IMAGE FUSSION

... image fusion refers to the techniques that achieve statistics of greater best by using complementary statistics from several source pics so that the brand new fused pics are greater suitable for the reason of the ...

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A novel linear feature detector for SAR images

A novel linear feature detector for SAR images

... (SAR) images, such as the line extraction method by using MRF (Markov random field) [1], the fusion of SAR Intensity and Coherence data raised up by Hellwich et ...in SAR imagery, and their ...

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Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario

Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario

... coarse-resolution images obtained on two ...coarse-resolution images to detect land cover changes and it keeps more spatial details (Zhu et ...coarse-resolution images caused by different acquisition ...

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Speckle Reduction of Synthetic Aperture Radar Images using   Median Filter and Savitzky Golay Filter

Speckle Reduction of Synthetic Aperture Radar Images using Median Filter and Savitzky Golay Filter

... Result shows that the proposed method for despeckling is better than statistical filters and homomorphic based statistical filters. Since the desired algorithm is processed in each pixel of every level it takes more time ...

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A Downsampled SAR BM3D Despeckling Approach for Single Look SAR Images in High Resolution

A Downsampled SAR BM3D Despeckling Approach for Single Look SAR Images in High Resolution

... for SAR images. However, when tackling with high resolution SAR images, it often has an unsatisfy- ing despeckling performance in the homogeneous smooth regions, together with a high time ...

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